Complexity-bounded power control in video transmission over a CDMA wireless network

In this work, we consider a CDMA cell with multiple terminals transmitting video signals. The concept of a utility function is used to maximize the number of received picture frames with adequate quality per Joule of energy. For a reconstructed signal at the video decoder, the quality is controlled by the encoded bit rate, compression complexity as well as received signal-to-interference-noise ratio (SINR). In this work, video quality is measured in peak signal-to-noise ratio (PSNR) rather than SINR. We find that for a given compression complexity, maximum utility is achieved when the product of bit rate and required SINR is minimized. This maximum usually occurs at maximum video coding complexity. We also investigate the capacity in terms of the number of users that can be supported simultaneously for this system, and how the total utility varies with the number of users in this system. This can be used as an admission policy by the central station.

[1]  Yao Wang,et al.  Video Processing and Communications , 2001 .

[2]  Bernd Girod,et al.  Analysis of video transmission over lossy channels , 2000, IEEE Journal on Selected Areas in Communications.

[3]  Elza Erkip,et al.  Power efficient multimedia communication over wireless channels , 2003, IEEE J. Sel. Areas Commun..

[4]  Yao Wang,et al.  Optimal coding rate and power allocation for the streaming of scalably encoded video over a wireless link , 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[5]  David J. Goodman,et al.  Network Assisted Power Control for Wireless Data , 2001, Mob. Networks Appl..

[6]  Jack M. Holtzman,et al.  Power control and resource management for a multimedia CDMA wireless system , 1995, Proceedings of 6th International Symposium on Personal, Indoor and Mobile Radio Communications.

[7]  K. Rijkse,et al.  H.263: video coding for low-bit-rate communication , 1996, IEEE Commun. Mag..

[8]  Virgilio Rodriguez Resource management for scalably encoded information: the case of image transmission over wireless networks , 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).